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3D Point Cloud Segmentation Using A Fully Connected Conditional Random Field

Josep Casas, Xiao Lin, Montse Pardas
2018 Zenodo  
Publication in the conference proceedings of EUSIPCO, Kos island, Greece, 2017  ...  ) ISBN 978-0-9928626-7-1 © EURASIP 2017 25th European Signal Processing Conference (EUSIPCO) ISBN 978-0-9928626-7-1 © EURASIP 2017 25th European Signal Processing Conference (EUSIPCO) ISBN 978  ...  GRAPH BASED OBJECTS SEGMENTATION The goal of multi-class image segmentation is to label every pixel in the image with one of several object categories.  ... 
doi:10.5281/zenodo.1160042 fatcat:nw3qlhfhrvei7da4tsvx76cjri

Hierarchical spatio-temporal extraction of models for moving rigid parts

Nicole M. Artner, Adrian Ion, Walter G. Kropatsch
2011 Pattern Recognition Letters  
Conversely, things that move together throughout the whole video belong together and define a "rigid" object or part.  ...  A following grouping process uses the motion of the triangles marked as relevant as a cue to identify the "rigid" parts of the foreground or the background.  ...  Adrian Ion was supported in part by the European Commission, under project MCEXT-025481.  ... 
doi:10.1016/j.patrec.2011.05.005 pmid:22199412 pmcid:PMC3223567 fatcat:kepwgfkvyneoxnhljiaizsspta

GraphBGS: Background Subtraction via Recovery of Graph Signals [article]

Jhony H. Giraldo, Thierry Bouwmans
2020 arXiv   pre-print
Furthermore, the theory of graph signal processing and semi-supervised learning have been combined leading to new insights in the field of machine learning.  ...  algorithm inspired from the theory of recovery of graph signals.  ...  GSP is thus an emerging field that extends the concepts of classical digital signal processing to signals supported on graphs [36, 39, 37, 29] .  ... 
arXiv:2001.06404v2 fatcat:jhndwpf7gzcbrgnvvvp3abn5h4

Spatio-Temporal Video Object Segmentation via Scale-Adaptive 3D Structure Tensor

Hai-Yun Wang, Kai-Kuang Ma
2004 EURASIP Journal on Advances in Signal Processing  
the duality of image segmentation and motion estimation such that spatial and temporal information could assist each other to jointly yield much improved segmentation results.  ...  The key novelties of our method are (1) scale-adaptive tensor computation, (2) spatial-constrained motion mask generation without invoking dense motion-field computation, (3) rigidity analysis, (4) motion  ...  ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for their constructive comments.  ... 
doi:10.1155/s111086570440122x fatcat:xjfukf6k3zboxgi7zgqnlamsam

Smart business networks and business genetics with a high tech communications supplier selection industry case [article]

L. F. Pau
2013 arXiv   pre-print
Despite the emergence of event driven business process management, smart business networks, social networks, etc. as important research areas in management, for all the attractiveness of these concepts  ...  The two methods are being put in the context of emergence theory.  ...  Process specific, and 4. The use of communication and signalling networks as command / synchronization lines.  ... 
arXiv:1308.2944v1 fatcat:z3vhsdwyqrebtgoei6mg5ugtgq

Special issues on multimedia communication services

Thomas Sikora, Hong Ren Wu
2001 Circuits, systems, and signal processing  
Emerging and established international standards such as MPEG-4, MPEG-7, H.263, and JPEG-2000 have spurred the development of multimedia services.  ...  Some of these aspects are being addressed in MPEG-7, "Multimedia Content Description Interface" whose primary objective is to facilitate the description, identification, and access of audiovisual data.  ...  "Segmentation of Moving Objects in Image Sequence: A Review," by Dengsheng Zhang and Guojun Lu, provides a review of this important and challenging area of spatial segmentation of moving objects.  ... 
doi:10.1007/bf01201402 fatcat:2baz2mknife5pazbjkh7hxcfxy

On the Visual Perception of Shape - Analysis and Genesis through Information Models

Frederic Fol Leymarie
2011 Interdisciplinary Workshop The Shape of Things  
Shape is the structure of a localised field constructed in relation to an object, which e.g. consists of geometric entities in association with each sample of the object being scrutinized.  ...  of a "presentation" [28] , and (ii) Analysis, i.e. stimuli processing to produce perceptual cues to steer the generative engine as well as for verification of the generated percepts.  ...  Todd and myself at Goldsmiths, University of London, and A. Steed at UCL. I thank Andrea Baier and the anonymous reviewers for help in revising the manuscript.  ... 
dblp:conf/shapes/Leymarie11 fatcat:7tfzn5mgmjgybgckcxy44pvc7a

A Moving Object Detection Method Using Deep Learning-Based Wireless Sensor Networks

Linghua Zhao, Zhihua Huang, Wei Wang
2021 Complexity  
Aiming at the problem of real-time detection and location of moving objects, the deep learning algorithm is used to detect moving objects in complex situations.  ...  the purpose of detecting the moving target.  ...  Conflicts of Interest e authors declare that they have no conflicts of interest regarding the publication of this paper.  ... 
doi:10.1155/2021/5518196 fatcat:ktittyxpofccjhxjyktpgvyeji

Learning, detection and representation of multi-agent events in videos

Asaad Hakeem, Mubarak Shah
2007 Artificial Intelligence  
We show results of learning, detection, and representation of events for videos in the meeting, surveillance, and railroad monitoring domains.  ...  First, in order to learn the event structure from training videos, we automatically encode the sub-event dependency graph, which is the learnt event model that depicts the conditional dependency between  ...  Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the US Government.  ... 
doi:10.1016/j.artint.2007.04.002 fatcat:6aop2rocfnfmri57ivneyhy4yq

Research on Statistical Flow of the Complex Background Based on Image Method

Yang Huanhai
2014 Sensors & Transducers  
Using the image processing technology for the vehicle detection has become a hot topic in the research field of.  ...  Therefore, the application of video vehicle detection technology and image processing technology, identify a number of the same sight many car can, types and moving characteristics, can provide real-time  ...  Research on image segmentation can be for each pixel based, can also use the provisions in the field of image information to segmentation.  ... 
doaj:ec84a749f82f4a7a9783c1beb2fc2732 fatcat:nzkfilwylrdrfgdwl42pohim64

Scan-Less Line Field Optical Coherence Tomography, with Automatic Image Segmentation, as a Measurement Tool for Automotive Coatings

Samuel Lawman, Bryan Williams, Jinke Zhang, Yao-Chun Shen, Yalin Zheng
2017 Applied Sciences  
The combination of an LF-OCT with graph search segmentation is potentially a powerful technique for the quality assurance of non-opaque industrial coating layers. substrates and cannot give the thicknesses  ...  Recently, graph search algorithms have emerged as a popular [41] [42] [43] [44] approach  ...  The authors thank Roy Donga of Jaguar Land Rover Limited for providing the test samples.  ... 
doi:10.3390/app7040351 fatcat:2u7m6vq5jjhhjfl6iko4gsisrm

Compressed domain motion segmentation for video object extraction

R. Venkatesh Babu, K. R. Ramakrishnan
2002 IEEE International Conference on Acoustics Speech and Signal Processing  
A method for automatically estimating the number of objects and extracting independently moving video objects using motion vectors is presented here.  ...  This paper addresses the problem of extracting video objects from MPEG compressed video. The only cues used for object segmentation are the motion vectors which are sparse in MPEG.  ...  The emerging MPEG-4 standard address this interactivity at object level by defining Audio-visual Objects (AVO).  ... 
doi:10.1109/icassp.2002.5745481 dblp:conf/icassp/BabuR02 fatcat:5upncvrnyfckjhqsxl4dbzn65y

Compressed domain motion segmentation for video object extraction

Babu, Ramakrishnan
2002 IIEEE International Conference on Acoustics Speech and Signal Processing  
A method for automatically estimating the number of objects and extracting independently moving video objects using motion vectors is presented here.  ...  This paper addresses the problem of extracting video objects from MPEG compressed video. The only cues used for object segmentation are the motion vectors which are sparse in MPEG.  ...  The emerging MPEG-4 standard address this interactivity at object level by defining Audio-visual Objects (AVO).  ... 
doi:10.1109/icassp.2002.1004742 fatcat:z2kca25cgbb6visl44ucgmlrwe

3D point cloud segmentation oriented to the analysis of interactions

Xiao Lin, Josep R. Casas, Montse Pardas
2016 2016 24th European Signal Processing Conference (EUSIPCO)  
Acknowledgement: This work has been developed in the framework of the project TEC2013-43935-R, financed by the Spanish Ministerio de Economa y Competitividad and the European Regional Development Fund  ...  GRAPH BUILDING METHODS As mentioned in Section II, the input point cloud is represented by a graph G, and the method used to build the graph is critical for the segmentation process in the next step.  ...  Graph based methods, such as Markov Random Fields (MRF) and Conditional Random Fields (CRF) are employed to solve 3D semantic segmentation because of their convenient property of merging low-level context  ... 
doi:10.1109/eusipco.2016.7760379 dblp:conf/eusipco/LinCP16 fatcat:beqqq2de2fdq7exrqlq52pcndq

Automatic video segmentation and tracking for content-based applications

Hongliang Li, King Ngan
2007 IEEE Communications Magazine  
In this article we intend to provide a tutorial on the state-of-the-art in video segmentation and tracking technology with particular attention paid to the recent developments in attention-based object  ...  This greatly depends on automatic techniques for extracting such objects from multimedia data.  ...  In addition, attention model as an efficient tool in visual signal processing allows us to quickly select the useful information that is relevant to the segmented objects.  ... 
doi:10.1109/mcom.2007.284535 fatcat:aeklgqq5cfcqrgof36sstyse7a
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